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357 results for “supplementary information”
Supplementary information for D4.6 CEMCAP comparative techno-economic analysis of CO2 capture in cement plants
<p>Supplementary information for D4.6 CEMCAP comparative techno-economic analysis of CO2 capture in cement plants</p>
Supplementary information
<p><strong><span>Supporting Information</span></strong><span>:</span></p> <p><span>Fig. S1. Structure of Cet-IR700</span></p> <p><span>Cetuximab was conjugated to IR700. </span></p> <p><span> </span></p> <p><span>Fig. S2. Method for determining the fluorescence decay rate</span></p> <p><span>To calculate the decay rate of the fluorescence intensity ratio, the difference between the ratio at a specific time (t0) and the ratio 15 seconds earlier (t0 - 15) was divided by 15 seconds. The average of these differences over the most recent 15 data points was then calculated and expressed as %/s.</span></p> <p><span> </span></p> <p><span>Fig. S3. Real-time fluorescence imaging analysis of IR700</span></p> <p><span>(A) Small tumor and frontal irradiation were measured. Data are means ± s.e.m. (n≥11 mice in each group). (B) Large tumor and frontal irradiation were measured. Data are means ± s.e.m. (n≥8 mice in each group). (C) The condition of a large tumor and frontal irradiation were measured. Data are means ± s.e.m. (n≥8 mice in each group). </span></p> <p><span> </span></p> <p><span>Fig. S4. Correlation between antitumor effect and irradiation dose</span></p> <p><span>No correlation between tumor growth rate and irradiation dose among the three conditions was observed (Spearman’s test was conducted). </span></p> <p><span> </span></p> <p><span>Fig. S5. Body weight of mice after photoimmunotherapy</span></p> <p><span>No abnormal weight loss was observed in any group.</span></p> <p><span>Notes: Cet-IR 700, cetuximab and IR700 conjugated antibody</span></p> <p><span> </span></p> <p><span>Fig. S6. Histological findings 24 h after photoimmunotherapy using cylindrical irradiation. </span></p> <p><span>While little to no observations were made in the untreated and Cet-IR700-only groups, distinct cell death and reduced expression of EGFR fluorescence were noted in tumors where laser irradiation was halted at a clinical dose of –0.2%/s. Dead cells exhibited reduced expression of EGFR, while the expression of DAPI persisted. Scale bar: (A) 500 µm, (B) 100 µm.</span></p> <p><span> </span></p> <p><span>Fig. S7. Histological observations 24 h after photoimmunotherapy - magnified view</span></p> <p><span>(A) Frontal and (B) cylindrical irradiation. Scale bar: 50 µm, both.</span></p> <p><span>Little to no cell death was observed in the untreated and Cet-IR700-only tumors. </span></p> <p><span>HE staining revealed the presence of a granular layer, hyperkeratosis, and abnormal keratinization in tumors subjected to frontal 50 J/cm<sup>2</sup> and frontal –0.2%/s. In the same region, the nuclei were stained with DAPI but exhibited pyknosis. Furthermore, a decrease in the membrane expression of EGFR was observed.</span></p>
supplementary information on the fauna from Tel Rehov
<p>Supplement 1: List of archaeozoological assemblages with NISP > 100 from Iron Age II sites in Israel. </p> <p>Supplement 2: Osteometric measurements in Tel Rehov.</p> <p> </p> <p><strong>Comparison_Fauna_Composition.pdf</strong>. (A) Correlation plot for animal groups (caprines, cattle, suids, game animals – deer and gazelle, transport animals – donkeys and camels) based on logit-transformed relative frequencies of the animals represented in 32 Iron Age II assemblages with NISP > 100 (10.5281/zenodo.5544926 , supplement 1). Numbers above the diagonal represent Pearson correlation coefficients, and asterisks denote statistical significance ( *, P < 0.1; **, P < 0.05; ***, P < 0.001). (B) Principle components analysis of the logit transformed taxonomic relative frequency data. Colors mark geographic location, plotted in (C); numbers refer to site identifiers in Supplement 1. Arrow angle with the axis indicate the contribution of each taxon’s frequency to the principle components, and transparency their overall importance. Statistics used the ‘factoextra’ package in R (4.02)(R Core Team, 2020).</p> <p> </p> <p><strong>Sheep_LSI.jpeg. </strong>Changes in the log-size ratio of sheep measurements, calculated using the ‘zoolog’ package (REF) in R (R Core Team 2020) from the measurements in 10.5281/zenodo.5544926 (supplement 2). </p>
Supplementary Information Materials for the G-Cubed submission by Zakharov et al.
<p>This is an upload for the purposes of review at the G-Cubed journal by AGU. The supporting information is provided for the MGL opal-CT, as well as the results of the SIMS and EMPA measurements. The Secondary Ion Probe Mass Spectrometry (SIMS) measurements are included as the .xslx table (Data Set S1) with analytical conditions, raw measurements and VSMOW-calibrated values. The Electron Microprobe (EMPA) analyses are provided in the .xslx file (Data Set S2). The Data Set S2 is separated by tabs for individual sample. Images feature the analyzed areas, including petrographic image, reflected light and the SIMS points.</p>
Supplementary Data to *Informative and adaptive distances and summary statistics in approximate Bayesian computation*
<p>Supplementary code and data to <strong>Informative and adaptive distances and summary statistics in approximate Bayesian computation</strong> by <strong>Y. Schaelte et al., 2021</strong>.</p> <p>The archive contains a <strong>README.rst </strong>for information on what is where and how to execute the study and generate the figures. The underlying code without the data can be found at the repository https://github.com/yannikschaelte/study_abc_slad, of which this archive is a snapshot.</p>
Supplementary information for: Multisensory integration by polymodal sensory neurons dictates settlement in actinulae larvae
<div> <div> <div> <p>Multisensory integration (MSI) combines information from more than one sensory modality to elicit behaviors distinct from unisensory behaviors. MSI is best understood in animals with complex brains and specialized centers for parsing sensory information, but the dispersive larvae of sessile marine invertebrates utilize multimodal environmental sensory stimuli to base irreversible settlement decisions on, and most lack complex brains. Here, we examined the sensory determinants of settlement in actinula larvae of the hydrozoan <em>Ectopleura</em> <em>crocea</em> (Cnidaria), which possess a diffuse nerve net. A factorial settlement study revealed that photo-, chemo-, and mechano-sensory cues each influence the settlement response, which was complex and dependent on specific combinations of cues, therefore indicating MSI. Mechanosensory cues either inhibited or enhanced settlement rates depending on the presence or absence of chemical and light cues in the environment. Sensory gene expression over development peaked with developmental competence to settle, which in actinulae, requires cnidocyte discharge. Transcriptome analyses also highlighted several deep homological links between cnidarian and bilaterian mechano- chemo- and photo-sensory pathways. Fluorescent in situ hybridization studies of candidate transcripts suggested cellular partitioning of sensory function among the few cell types that comprise the actinula nervous system, where ubiquitous polymodal sensory neurons with putative chemo- and photo-sensitivity interface with mechanoreceptive cnidocytes. We propose that a simple multisensory processing circuit, involving polymodal chemo/photosensory neurons and mechanoreceptive cnidocytes, is sufficient to explain MSI in actinulae settlement. Our study demonstrates that MSI is not exclusive to complex brains, but likely predated and contextualized their evolution.</p> </div> </div> </div>
NewSOC, supplementary information to WT2.3 "Development of doped lanthanum chromite based fuel electrodes", WT2.5 "Electrochemical characterization of single cells"
<p>These are experimental data related to CERTH participation in NewSOC project (874577) regarding WT2.3 “Development of doped lanthanum chromite based fuel electrodes”, WT2.5 “Electrochemical characterization of single cells”. The data set includes:</p> <ul> <li>physicochemical characterization (ICP, BET, XRD and SEM) of the powders and electrodes or cells produced (SEM)</li> <li>electrochemical characterization (iV characteristics, impedance, stability tests)</li> </ul> <p> </p> <p><strong>LSCrF0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV, EIS and stability testing for button cells using different electrolyte substrates (formulation and thickness) and oxygen electrode materials operating under steam electrolysis, co-electrolysis of steam and carbon dioxide and reversible operation in steam or carbon dioxide cycle.</p> <p><strong>LSCrF0.5.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.5</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrNi0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Ni<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrNi0.5.rar:</strong> The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Ni<sub>0.5</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, and (B) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrMn0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Mn<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrF0.05Ti0.05.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.05</sub>Ti<sub>0.05</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrF0.05V0.05.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.05</sub>V<sub>0.05</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrF0.25Ti0.25.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.25</sub>Ti<sub>0.25</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrF0.25V0.25.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.25</sub>V<sub>0.25</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p><strong>Ni-GDC.rar</strong>: The zip folder contains data related to button cell stability testing using a commercial Ni-GDC fuel electrode material operating under steam electrolysis. </p> <p><strong>LARGE CELLS.rar</strong>: Data set for large cells (5x5 cm2) including iV, EIS and short-term stability testing employing Keracell III cell, Ni-GDC and LSCrF0.1 fuel electrodes operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p> </p> <p> </p> <p> </p>
Grammaticus leidensis: supplementary information
<p>In ‘Of tortoise necks and dialects: a new edition of the Grammaticus Leidensis’ (forthcoming in <em>Byzantinische Zeitschrift</em>), we present a new edition of the Byzantine treatise on dialects known as the Grammaticus Leidensis. To allow readers to verify the manuscript stemma we present there, we here provide a copy of the text with a very full apparatus, recording the readings of all the manuscripts known to us. This version of the apparatus may also be useful to those interested in the reception of the text from the tenth century up to the Renaissance.</p>
A new family of Asellota (Crustacea, Isopoda) from the deep sea of Zealandia: Supplementary Information
<p>Supplementary files for publication:</p> <p>A new family of Asellota (Crustacea, Isopoda) from the deep sea of Zealandia</p> <p>George D. F. Wilson, Saugatuck Natural History Laboratory, Michigan, USA</p> <p>Files from TNT 1.5-1.6 analyses of data of the Janiroidean Asellotans.</p> <ol> <li> <p>Janiroidea_taxon_list.odt - list of taxa used in analysis with authorities</p> </li> <li> <p>Janiroidea.prt - character names and states</p> </li> <li> <p>Janiroidea.tnt - TNT analysis file</p> </li> <li> <p>Janiroidea_simplified.nex - Simplified Nexus file used in the analysis, without character descriptions</p> </li> <li> <p>Janiroidea_unweighted_majority-rule_tree.pdf - consensus summary of branches that appear in all trees. The branch numbers indicate the percentage of times a branch appears in all trees with a value of 50% or above. 1 means that the branch appears in all trees.</p> </li> <li> <p>Janiroidea_unweighted_Jac33_tree.pdf - symmetric jackknife analysis where each branch had a 33% chance of being duplicated or deleted. The branch values are the percentage of trees that the branch was found and the percentage where branch was uncontradicted. The square brackets mean that the number was negative.</p> </li> <li> <p>Janiroidea_K24.355468_Jac33_tree.pdf - same as the unweighted analysis but the optimal concavity value (24.355468) was used in the implied weighted analysis.</p> </li> <li> <p>Janiroidea_K24-355468_Jac33_50collapsed_tree.pdf. Same as above but all branches with values of 50% or less were collapsed. Family names indicated on the right.</p> </li> <li> <p>Janiroidea_K3-30_majority-rule_tree.pdf. Consensus of analysis testing a range of k from 3 to 30. All trees found were used in the consensus. The branch numbers indicate the percentage of times a branch appears in all trees with a value of 50% or above. 1 means that the branch appears in all trees.</p> </li> <li> <p>Janiroidea_no-Janiroidea_no-Basoniscus_unweighted_Jac33_tree.pdf. Same as item 6 but without <em>Basoniscus</em> n.gen. in the taxon list.</p> </li> <li> <p>Janiroidea_no-Basoniscus_K23.876952_Jac33_tree.pdf. Same as item 7 but without <em>Basoniscus</em> n.gen. in the taxon list.</p> </li> </ol> <p> </p>
Supplementary data of article Integrating Data-Driven and Hydraulic Modelling with Acoustic Sensor Information for Improved Leak Location in Water Distribution Networks
<p>This dataset was generated within the research thesis of Axel Hutomo, under the supervision of Leonardo Alfonso and Ioana Popescu at IHE Delft, and it is published as supplementary data for the article <em>Integrating Data-Driven and Hydraulic Modelling with Acoustic Sensor Information for Improved Leak Location in Water Distribution Networks, </em>currently under review. </p> <p>The Excel sheet provides information about the datasets produced to integrate acoustic sensor data and hydraulic model output data, to be used by the Machine Learning model. The acoustic sensor data were obtained by extracting several features in time and frequency domains from each audio file coming from acoustic sensors, whereas hydraulic model data was obtained by modelling these leaks using a pressure-independent analysis.</p> <p>The Python code shows the building of the ANN for leakage modelling prediction, integrating the two datasets above, for different leak rates.</p>
Supplementary Data and Code: Change Point Analysis to decode Economic Crisis Information
<p>Raw data, results and Python code of the corresponding publication "Efficient Multi-Change Point Analysis to decode Economic Crisis Information from the S&P500 Mean Market Correlation" (accepted in: Entropy; Section: Complexity; Special Issue: Complexity in Finance). The change point analysis can be performed using the <a href="https://anticpy.readthedocs.io/en/latest/">documented</a> Python package <a href="https://github.com/MartinHessler/antiCPy"><em>antiCPy</em></a>. Some further helpful Python scripts are provided here under a <em>GNU General Public License v3.0.</em></p> <p>In Data_Generation you can find a list of</p> <ol> <li>S&P500 companies which are considered in the analysis,</li> <li>a jupyter notebook to create the correlation time series.</li> </ol> <p>Data_Preprocessing contains the</p> <ol> <li>S&P500 mean market correlation Financial_Time_Series_Centered_Interval__42days.csv,</li> <li>the Python code to thin it,</li> <li>the thinned data saved as .npy file,</li> <li>the time scale is saved <ul> <li>as integer numbers in thinned_time_thinning40.npy,</li> <li>as datetime in TimeScale_FinancialData.npy.</li> </ul> </li> </ol> <p>In Change_Point_Analysis you find the following files:</p> <ol> <li>cp_probs...npy contain the joint probabilities of the corresponding change point configurations (The joint probabilities are saved corresponding to the order in which Python's <em>itertools.combinations() </em>creates the configurations. This holds also for the cp_probs_5_cps.npy for which the whole combinations array is not saved for memory reasons),</li> <li>cp_pdfs...npy contain the marginal probability density functions of the ordinal change point positions averaged over all configurations,</li> <li>cp_configs...npy contain the configurations,</li> <li>segment_fit...npy contain the segment fit data,</li> <li>segment_fit_variance...npy contain corresponding variances,</li> <li>In the case of five change points only the plotted 1st, 13th and 26th most probable configuration in config_ranking_CP1_5.npy for memory reasons.</li> <li>the data and results of figure 3 for each crisis event can be found in the corresponding directory's folders: <ul> <li>blue corresponds to the pre-crisis data segments,</li> <li>green corresponds to the data segments up to the green vertical dotted line,</li> <li>red corresponds to the longest data segments incorporating near and in-crisis data.</li> </ul> </li> </ol> <p> </p> <p> </p>
[Supplementary Information] Model uncertainty versus variability in the life cycle assessment of commercial fisheries
<p>Supporting information from the manuscript: <em>Model uncertainty versus variability in the life cycle assessment of commercial fisheries</em>. The study analyses the life cycle assessment of fish species landed by Danish trawlers, comparing sources of uncertainty (such as modelling approaches) with sources of variability (vessel length and years).</p> <p>Supporting information 1: In depth description of the different models used in the study, the fuel disaggregation processes and the sensitivity analysis performed</p> <p>Supporting information 2: Contains the excel table with the datasets and related calculations to replicate the results described in the paper and the R code used to analyze the results.</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 2
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 5
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 4
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
Vaccination of poultry against highly pathogenic avian influenza – part 1. Available vaccines and vaccination strategies. Annex A–Supplementary information on ToR 1 data
<p>Table A.1 - Available vaccines for HPAI in poultry. The table includes information on vaccine characteristics such as HA seed strain, vaccine dosage and administration route, target species, authorisation status, challenge strain, duration of immunity and source of information.</p> <p>Table A.2 - Challenge experiments. The table includes data extracted from 28 selected studies from literature on challenge experiments. The data was used to quantify VE<sub>S</sub>, VE<sub>m</sub>, VE<sub>sh </sub>and VE<sub>s,sh </sub>for each vaccine assessed within each study. For each value of VE<sub>s,sh</sub> the probability R<sub>vac</sub> < 1 was estimated to infer the probability of the vaccine to potentially stop transmission in vaccinated birds (VE<sub>T</sub>).</p> <p>Table A.3 - Transmission experiments. The table includes data extracted from 12 studies from the literature, data was used from the unvaccinated and vaccinated groups to quantify VE<sub>S</sub>, VE<sub>m</sub>, VE<sub>sh</sub> and VE<sub>s,sh</sub> for each vaccine assessed within each study; the estimated R values for the unvaccinated (R<sub>unv</sub>) and vaccinated (R<sub>vac</sub>) groups were also extracted. The R<sub>vac</sub> values were used to create a binomial variable classifying whether the vaccine could stop transmission (R < 1) or not.</p>
On the conversion of CO2 to value added products over composite PdZn and H-ZSM-5 catalysts: excess Zn over Pd, a compromise or a penalty? Supplementary information
<p>Supplementary Material: N2 adsorption, TEM, XAS, PXRD, test results</p>
Supplementary information from: An extensive archaeological dental calculus dataset spanning 5000 years for ancient human oral microbiome research
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Data, code, and supplementary information for Hyracoid locus identification
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Supplementary information for: Multisensory integration by polymodal sensory neurons dictates settlement in actinulae larvae
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ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.